| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000330419 |
| 005 | | 20241029174332 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438343429 |
| 035 | |
▼a (MiAaPQ)AAI10844758 |
| 035 | |
▼a (MiAaPQ)cornellgrad:10983 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 658 |
| 100 | 1 |
▼a Freund, Daniel.
▼0 (orcid)0000-0001-8039-9805 |
| 245 | 10 |
▼a Models and Algorithms for Transportation in the Sharing Economy. |
| 260 | |
▼a [S.l.] :
▼b Cornell University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 262 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Adviser: David B. Shmoys. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Cornell University, 2018. |
| 520 | |
▼a This thesis consist of two parts. The first deals with bike-sharing systems which are now ubiquitous across the U.S.A. We have worked with Motivate, the operator of the systems in, for example, New York City, Chicago, and San Francisco, to innov |
| 520 | |
▼a In the second part, we study a queueing-theoretic model of on-demand transportation systems (e.g., Uber/Lyft, Scoot, etc.) to derive approximately optimal pricing, dispatch, and rebalancing policies. Though the resulting problems are high-dimens |
| 590 | |
▼a School code: 0058. |
| 650 | 4 |
▼a Operations research. |
| 650 | 4 |
▼a Applied mathematics. |
| 650 | 4 |
▼a Computer science. |
| 690 | |
▼a 0796 |
| 690 | |
▼a 0364 |
| 690 | |
▼a 0984 |
| 710 | 20 |
▼a Cornell University.
▼b Applied Mathematics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0058 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000011
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |